The technique of ensemble forecasting based on Ensemble Kalman Filter(EnKF) data assimilation is applied to the problem of tropical cyclone track prediction using MM5 model.

This paper shows that extra non-real-time data (dropsonde data) can improve hurricane track forecasts compared with real-time observational data, and that the wind and relative humidity components of the dropsonde data have the greatest impact on the track forecasts.

In this study,the verification of the tropical cyclone track forecasting performance of GRAPES_TCM is first shown .

A research on numerical prediction method for wave-making resistance and its application to container ship hull form optimization;

The test of numerical prediction of seawater temperature in the sea area near Fujian;

Development and study of practical numerical prediction system of typhoon swelling;

Medium Scale Numerical Forecast Professional System of Hei Longjiang Province;

Application of the numerical forecast for the sea ice in the marine development;

On the basis of large and comprehensive field measuring data for atmospheric environmental parameters,a numerical forecasting model system on air quality was developed recently in order to make business forecast of air pollution in Jinan City.